Machine Learning Data Science

Mohammed Yousufuddin

New York city, NY •**********************@*****.***• 646-***-****

EDUCATION

Master of Science in Business intelligence and Database Management Expected Dec 2025 Touro University, Graduate School of Technology, New York, NY Bachelor of Engineering in Computer Science Dec 2023 Osmania University, Hyderabad (India)

PROFESSIONAL EXPERIENCE

Pathway Catalyst, New York, USA Jan 2025-

Data Science Intern

Developed and implemented machine learning models to predict customer churn, achieving a 85% accuracy rate and reducing churn by 20%.

Analyzed large datasets using Python and SQL to uncover insights into customer behavior, leading to targeted marketing campaigns and a 15% increase in conversion rates.

Built recommendation systems leveraging collaborative filtering techniques, resulting in a 25% improvement in product recommendations and driving up sales revenue.

Conducted A/B testing to evaluate the effectiveness of new product features, providing actionable insights to product development teams and increasing user engagement by 30%.

Collaborated with cross-functional teams to design and deploy scalable data pipelines, enabling real-me data processing and analysis, and improving decision-making processes. Remarkskill Education, Delhi, India June 2022 –Aug 2022 Data Science Intern

Developed a predictive model that improved ad targeting by 15%, increasing overall user engagement and click- through rates.

Collected and preprocessed data from multiple sources, including user demographics, ad content, and click- through rates.

Applied machine learning algorithms (Random Forest and ensemble methods) to enhance prediction accuracy.

Gained proficiency in exploratory data analysis (EDA), data cleaning, and model evaluation. PROJECTS

Churn Analysis for telecom company

Processed telecom customer data using SQL to clean and resolve missing values and inconsistencies, enhancing data accuracy.

Built a Random Forest model to predict customer churn, achieving an 92% accuracy rate in predicting which customers were likely to leave.

Created interactive dashboards to help the company analyze customer behavior patterns and retention rates. Loan Approval Prediction Model

Developed a machine learning model to predict loan approval using svc model.

Preprocessed dataset by handling missing values and feature scaling.

Evaluated model performance using accuracy score and cross-validation.

Visualized important insights using plotly and seaborn to understand trends in the data.

Achieved accuracy of 93%

Nike Sales Analysis

Utilized tableau to create visual dashboards for regional sales analysis, product performance comparison, and quarterly sales trends.

Designed visualizations such as pie charts, waterfall charts, and Pareto charts to help Nike's sales team make data- driven decisions and optimize strategies.

Collaborated with stakeholders to interpret findings and implement recommended actions to improve sales performance.

TECHNICAL SKILL

Languages: R, SQL, Python, Java, C, C++

Tools:

Tableau

Power BI

MS Project

Google analytics

MS office Suite (Excel, Word & PowerPoint)

PROFESSIONAL SKILLS

Problem Solving

Attention to Detail

Time Management

Collaboration / Teamwork

Business Acumen

Adaptability

Project Management

Customer engagement

Sprint Planning Soft Skills

Contact this candidate